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Mashgin in Palo Alto, CA seeks a software engineer to design and implement image processing algorithms and scalable software for edge devices using C/C++ and Python. You will contribute to end-to-end product development on kiosks deployed across diverse locations.
The role involves building production-ready code, collaborating with hardware, software, and design teams, and advancing real-time image analysis for scalable systems.
Mashgin powers the world's best checkout experience for over 40 million users. Customers just place their items on our kiosks and our AI rings up their entire order in less than a second. With Mashgin, lines are now optional.
Mashgin's technology powers over 1 billion transactions at your favorite locations, including over half of all US professional sports teams, 4,000 convenience stores, major airports, universities, and more.
We’re not just building cutting-edge AI—we’re creating real-world impact and unforgettable experiences. Backed by a well-funded Series B, we’re also one of the rare AI startups that’s already profitable.
Our secret? A culture of extreme ownership, autonomy, and customer obsession. At Mashgin, we are building something extraordinary by challenging conventional wisdom. We’ve thrown out the old rules to focus on what truly matters: creating a kickass product that makes people say, 'Wow'. We don’t care about short-term wins; we build systems that stand the test of time. If you thrive in a culture of excellence without compromise and want to see your work have an immediate, remarkable impact, you’re in the right place.
Develop and design new algorithms for image processing and analysis, and scalable software systems using C/C++ and Python.
Develop and execute large-scale data collection techniques for training Deep Neural Networks.
Drive and develop new algorithms to dramatically improve existing computer vision methods.
Research and maintain state-of-the-art ML algorithms for image analysis.
Debug and resolve production vision system issues through algorithm tuning and software-level fixes for kiosks deployed in diverse physical locations.
Code full-stack building products from end to end.
Build production-ready code.
Work with a small interdisciplinary team in hardware, software, and design to build new versions of products from scratch.
Conduct continuous improvement and maintenance of code already in production.
Develop scalable software systems for deployment on edge devices. Work with multi-camera systems. Build software for real-time image processing.
A Master’s degree or equivalent in Computer Science or a related field;
One year of experience in a software engineering or related role;
Must have one year of experience with designing and optimizing high-performance image processing software systems for deployment on edge devices;Developing and optimizing software within large-scale production codebases using C++ and Python;Working on multi-camera image processing pipelines to support advanced camera functionalities;Debugging and resolving camera image processing issues through algorithm tuning and software‑level fixes;Performing debugging and analysis using log inspection, intermediate output validation, and debugging tools;Utilizing Bash and Python scripts for large-scale log processing and automation of debugging workflows; andWorking in Linux environments and using tools such as Git, Make, and testing frameworks for software validation.
$187,075 - $250,000 a year
For roles based in Palo Alto, CA, the overall market range for Mashgin is typically $187,075 - $250,000 USD annually. Note that total compensation for this position will be determined by candidate’s relevant qualifications, work experience, skills, and other relevant factors. This estimate excludes the value of any benefits offered by Mashgin, and the potential future value of any other long-term incentives.
Mashgin is proud to be an equal opportunity employer. Individuals seeking employment at Mashgin are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.